Detecção de Indisponibilidades em Aplicações Web
Resumo
The internet's growth transformed business services but also brought challenges with failures in Information Systems. Stable operations require continuous monitoring aligned with ITIL. This study suggests a novel method, applying data mining for rapid failure detection. It evaluates real-time web analytics data to swiftly identify critical web app failures. Preprocessing and hyperparameters were optimized using hyperopt for improve accuracy. Seven models were made; LSTM excelled, validating its effectiveness in differentiating failures from successes.
Referências
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K. Zhang, J. Xu, M. R. Min, G. Jiang, K. Pelechrinis, and H. Zhang, “Automated IT system failure prediction: A deep learning approach,” in 2016 IEEE International Conference on Big Data (Big Data), IEEE, 2016, pp. 1291–1300.
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Hossin, Mohammad, and Md Nasir Sulaiman. "A review on evaluation metrics for data classification evaluations." International journal of data mining & knowledge management process 5.2 (2015): 1.
Meirelles, F. S. Pesquisa anual do uso de TI. Fundação Getúlio Vargas, 2022.
Afshan, S. and Sharif, A. Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, vol. 33, no. 2, pp. 370–387, 2016. Elsevier.
Du, M., Li, F., Zheng, G., Srikumar, V. Deeplog: Anomaly detection and diagnosis from system logs through deep learning. Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, pp. 1285–1298, 2017.
Zhang, X., Xu, Y., Lin, Q., Qiao, B., Zhang, H., Dang, Y., Xie, C., Yang, X., Cheng, Q., Li, Z., et al. Robust log-based anomaly detection on unstable log data. Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 807–817, 2019.
K. Zhang, J. Xu, M. R. Min, G. Jiang, K. Pelechrinis, and H. Zhang, “Automated IT system failure prediction: A deep learning approach,” in 2016 IEEE International Conference on Big Data (Big Data), IEEE, 2016, pp. 1291–1300.
Gamalielsson, Jonas, Bjorn Lundell, Simon Butler, Christoffer Brax, Tomas Persson, Anders Mattsson, Tomas Gustavsson, Jonas Feist e Erik Lonroth: Towards open government through open source software for web analytics: The case of matomo. JeDEM-eJournal of eDemocracy and Open Government, 13(2):133–153, 2021.
Hossin, Mohammad, and Md Nasir Sulaiman. "A review on evaluation metrics for data classification evaluations." International journal of data mining & knowledge management process 5.2 (2015): 1.
Publicado
24/08/2023
Como Citar
SCHULZ, Daniel; MAROTTA, Marcelo; BONDAN, Lucas; ROCHA FILHO, Geraldo P.; CAETANO, Marcos; ARAUJO, Aleteia.
Detecção de Indisponibilidades em Aplicações Web. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DO CENTRO-OESTE (ERAD-CO), 6. , 2023, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 15-19.
DOI: https://doi.org/10.5753/eradco.2023.234679.
